Salesforce AI Associate Exam - Topic 4 Question 6 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam

Question #: 6
Topic #: 4

[All Salesforce AI Associate Questions]

What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

AChances of bIas and mitigated

BChances of bias are aggravated

CChances of bias are remove

Show Suggested Answer

Suggested Answer: A

''Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the data used or generated by the generative AI model.''

by Barrett at Oct 08, 2023, 04:53 AM

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Annmarie

3 months ago

Bias can definitely be mitigated with good data!

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Helga

3 months ago

Not sure if data quality alone is enough.

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Rebecka

4 months ago

Wait, can we really remove all bias?

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Kerry

4 months ago

Totally agree, transparency is key.

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Rory

4 months ago

Better data means less bias!

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Tamekia

4 months ago

I feel like the answer could be A, but I also remember something about bias being aggravated in certain contexts, so I'm not entirely confident.

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Ronny

4 months ago

I’m a bit confused; I thought transparency was supposed to help identify bias, but does that mean it actually reduces it?

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Emmett

4 months ago

I think we practiced a question similar to this, and I believe the answer was about mitigating bias, so I might lean towards A.

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Leonor

5 months ago

I remember discussing how data quality can help reduce bias, but I'm not sure if it completely removes it.

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Jenelle

5 months ago

I'm a bit confused on this one. I know data quality and transparency are important for AI, but I'm not sure how they specifically impact bias. I'll have to read the options carefully and see if I can figure out the best answer.

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Mayra

5 months ago

Hmm, this is a tricky one. I'm not entirely sure how data quality and transparency relate to bias in AI. I'll need to think through the different options and try to reason out the best answer.

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Caren

5 months ago

I think this question is asking about the benefits of having data quality and transparency when it comes to bias in AI systems. I'll need to carefully consider the options and how data quality and transparency can impact bias.

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Doug

5 months ago

Okay, I've got this. Data quality and transparency help mitigate bias in AI by ensuring the data used to train the models is accurate and representative. This increases the chances of the AI system being unbiased. Option A is the correct answer.

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Linn

5 months ago

I'm pretty sure NFS is not supported by ECI, so I'll go with option B.

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Rosalia

5 months ago

This seems like a straightforward question about the automatic transfer switch system. As long as I remember that key detail, I should be able to answer it correctly.

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